assessments of the northern hemisphere snow cover response to 1.5 and 2.0 °c warming
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ID: 207039
2018
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Abstract
The 2015 Paris Agreement set a goal to pursue a global mean temperature below
1.5 °C and well below 2 °C above preindustrial levels.
Although it is an important surface hydrology variable, the response of snow
under different warming levels has not been well investigated. This study
provides a comprehensive assessment of the snow cover fraction (SCF) and snow
area extent (SAE), as well as the associated land surface air temperature
(LSAT) over the Northern Hemisphere (NH) based on the Community Earth System
Model Large Ensemble project (CESM-LE), the CESM 1.5 and 2 °C projects,
and the CMIP5 historical RCP2.6 and RCP4.5 products. The results show
that the spatiotemporal variations in those modeled products are grossly
consistent with observations. The projected SAE magnitude change in RCP2.6 is
comparable to that in 1.5 °C, but lower than that in 2 °C.
The snow cover differences between 1.5 and 2 °C are prominent during
the second half of the 21st century. The signal-to-noise ratios (SNRs) of both
SAE and LSAT over the majority of land areas are greater than 1, and for
the long-term period, the dependences of SAE on LSAT changes are comparable
for different ensemble products. The contribution of an increase in LSAT to
the reduction of snow cover differs across seasons, with the greatest
occurring in boreal autumn (49–55 %) and the lowest occurring in boreal
summer (10–16 %). The snow cover uncertainties induced by the ensemble
variability are invariant over time across CESM members but show an increase
in the warming signal between the CMIP5 models. This feature reveals that the
physical parameterization of the model plays the predominant role in
long-term snow simulations, while they are less affected by internal climate
variability.
| Reference Key |
wang2018earthassessments
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|---|---|
| Authors | ;A. Wang;L. Xu;X. Kong |
| Journal | itinéraires |
| Year | 2018 |
| DOI |
10.5194/esd-9-865-2018
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| URL | |
| Keywords |
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